PiE combines pack data, brand inputs, domain science, and live consumer signals to create structured, evidence-linked product intelligence powering TruthIn, IntelliServ, APIs, and research workflows.
Reliable product attribution takes more than extraction. It takes messy inputs, domain logic, validation, freshness, and production delivery working as one system.
PiE is grounded in high-confidence labels, broad category coverage, and live consumer signals that keep product truth usable in production.
PiE powers consumer experiences, enterprise workflows, APIs,
and research-grade product intelligence
PiE combines operational delivery, live consumer feedback and domain science so product intelligence stays usable in the real world, not just in a model demo.
Because real product intelligence must work beyond clean datasets—across fragmented catalogs, changing products, and operational complexity.
Every product, signal, and workflow helps PiE learn, improve, and deliver stronger product intelligence over time.
Whether you are evaluating APIs, custom attribution, or research-grade product data, we can show you how PiE fits into your workflow.